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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "HiCBricks" in publications use:'
type: software
license: MIT
title: 'HiCBricks: Framework for Storing and Accessing Hi-C Data Through HDF Files'
version: 1.23.0
doi: 10.1093/bioinformatics/btz808
abstract: HiCBricks is a library designed for handling large high-resolution Hi-C
  datasets. Over the years, the Hi-C field has experienced a rapid increase in the
  size and complexity of datasets. HiCBricks is meant to overcome the challenges related
  to the analysis of such large datasets within the R environment. HiCBricks offers
  user-friendly and efficient solutions for handling large high-resolution Hi-C datasets.
  The package provides an R/Bioconductor framework with the bricks to build more complex
  data analysis pipelines and algorithms. HiCBricks already incorporates example algorithms
  for calling domain boundaries and functions for high quality data visualization.
authors:
- family-names: Pal
  given-names: Koustav
  email: koustav.pal@ifom.eu
preferred-citation:
  type: article
  title: 'HiCBricks: building blocks for efficient handling of large Hi-C datasets.'
  authors:
  - family-names: Pal
    given-names: Koustav
    email: koustav.pal@ifom.eu
  - family-names: Tagliaferri
    given-names: Ilario
  - family-names: Livi
    given-names: Carmen M.
  - family-names: Ferrari
    given-names: Francesco
  journal: Bioinformatics
  year: '2019'
  volume: '171'
  doi: 10.1093/bioinformatics/btz808
  start: '557'
repository: https://bioc.r-universe.dev
date-released: '2019-08-24'
contact:
- family-names: Pal
  given-names: Koustav
  email: koustav.pal@ifom.eu